Resultats de la cerca - Danciu, Ioana

Managing and Communicating Operational Workflow: Designing and Implementing an Electronic Outpatient Whiteboard per Steitz, Bryan D., Weinberg, Stuart T., Danciu, Ioana, Unertl, Kim M.

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Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks per Kim, Minsu, Huffman, Jennifer E., Justice, Amy, Goethert, Ian, Agasthya, Greeshma, Danciu, Ioana

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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients per Mahbub, Maria, Srinivasan, Sudarshan, Danciu, Ioana, Peluso, Alina, Begoli, Edmon, Tamang, Suzanne, Peterson, Gregory D.

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Electronic Surveillance and Pharmacist Intervention for Vulnerable Geriatric Inpatients on High-Risk Medication Regimens per Peterson, Josh F., Kripalani, Sunil, Danciu, Ioana, Harrell, Debbie, Marvanova, Marketa, Salanitro, Amanda, Rodriguez, Carmen, Powers, James S.

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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records per Savova, Guergana K., Danciu, Ioana, Alamudun, Folami, Miller, Timothy, Lin, Chen, Bitterman, Danielle S., Tourassi, Georgia, Warner, Jeremy L.

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Secondary Use of Clinical Data: the Vanderbilt Approach per Danciu, Ioana, Cowan, James D., Basford, Melissa, Wang, Xiaoming, Saip, Alexander, Osgood, Susan, Shirey-Rice, Jana, Kirby, Jacqueline, Harris, Paul A.

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A Computerized Provider Order Entry Intervention for Medication Safety During Acute Kidney Injury: A Quality Improvement Report per McCoy, Allison B., Waitman, Lemuel R., Gadd, Cynthia S., Danciu, Ioana, Smith, James P., Lewis, Julia B., Schildcrout, Jonathan S., Peterson, Josh F.

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JSONize: A Scalable Machine Learning Pipeline to Model Medical Notes as Semi-structured Documents per Rush, Everett N., Danciu, Ioana, Ostrouchov, George, Cho, Kelly, Mayer, Benjamin W., Ho, Yuk-Lam, Honerlaw, Jacqueline, Costa, Lauren, Linares, Franciel, Begoli, Edmon

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Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP) per Knight, Kathryn E., Honerlaw, Jacqueline, Danciu, Ioana, Linares, Franciel, Ho, Yuk-Lam, Gagnon, David R., Rush, Everett, Gaziano, J. Michael, Begoli, Edmon, Cho, Kelly

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Estimating Baseline Kidney Function in Hospitalized Patients with Impaired Kidney Function per Siew, Edward D., Ikizler, T. Alp, Matheny, Michael E., Shi, Yaping, Schildcrout, Jonathan S., Danciu, Ioana, Dwyer, Jamie P., Srichai, Manakan, Hung, Adriana M., Smith, James P., Peterson, Josh F.

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Acute Kidney Injury Incidence in Noncritically Ill Hospitalized Children, Adolescents, and Young Adults: A Retrospective Observational Study per McGregor, Tracy L., Jones, Deborah P., Wang, Li, Danciu, Ioana, Bridges, Brian C., Fleming, Geoffrey M., Shirey-Rice, Jana, Chen, Lixin, Byrne, Daniel W., Van Driest, Sara L.

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A prognostic model based on readily available clinical data enriched a preemptive pharmacogenetic testing program per Schildcrout, Jonathan S., Shi, Yaping, Danciu, Ioana, Bowton, Erica, Field, Julie R., Pulley, Jill M., Basford, Melissa, Gregg, William, Cowan, James, Harrell, Frank E., Roden, Dan M., Peterson, Josh F., Denny, Joshua C.

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Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types per De Angeli, Kevin, Gao, Shang, Danciu, Ioana, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen, Wiggins, Charles, Damesyn, Mark, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D., Yoon, Hong-Jun

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Adverse Drug Events during AKI and Its Recovery per Cox, Zachary L., McCoy, Allison B., Matheny, Michael E., Bhave, Gautam, Peterson, Neeraja B., Siew, Edward D., Lewis, Julia, Danciu, Ioana, Bian, Aihua, Shintani, Ayumi, Ikizler, T. Alp, Neal, Erin B., Peterson, Josh F.

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Physician Response to Implementation of Genotype-Tailored Antiplatelet Therapy per Peterson, Josh F., Field, Julie R., Unertl, Kim, Schildcrout, Jonathan S., Johnson, Daniel C., Shi, Yaping, Danciu, Ioana, Cleator, John H., Pulley, Jill M., McPherson, John A., Denny, Josh C., Laposata, Michael, Roden, Dan M., Johnson, Kevin B.

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Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azithromycin, and COVID-19 outcomes amongst hospitalized US... per Gerlovin, Hanna, Posner, Daniel C, Ho, Yuk-Lam, Rentsch, Christopher T, Tate, Janet P, King Jr, Joseph T, Kurgansky, Katherine E, Danciu, Ioana, Costa, Lauren, Linares, Franciel A, Goethert, Ian D, Jacobson, Daniel A, Freiberg, Matthew S, Begoli, Edmon, Muralidhar, Sumitra, Ramoni, Rachel B, Tourassi, Georgia, Gaziano, J Michael, Justice, Amy C, Gagnon, David R, Cho, Kelly

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